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Timothy E. Link

Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/hyp.11144/full): The extensive forests that cover the mountains of the Pacific Northwest, USA, modify snow processes and therefore affect snow water storage as well as snow disappearance timing. However, forest influences on snow accumulation and ablation vary with climate, topography, and land cover and are therefore subject to substantial temporal and spatial variability. We utilize multiple years of snow observations from across the region to assess forest-snow interactions in the relatively warm winter conditions characteristic of the maritime and maritime-continental climates. We (1) quantify the difference in snow magnitude and disappearance timing...
Abstract (from http://jcom.sissa.it/archive/15/01/JCOM_1501_2016_A01): Whereas the evolution of snow cover across forested mountain watersheds is difficult to predict or model accurately, the presence or absence of snow cover is easily observable and these observations contribute to improved snow models. We engaged citizen scientists to collect observations of the timing of distributed snow disappearance over three snow seasons across the Pacific Northwest, U.S.A. . The primary goal of the project was to build a more spatially robust dataset documenting the influence of forest cover on the timing of snow disappearance, and public outreach was a secondary goal. Each year's effort utilized a different strategy, building...
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Field measurements, daily meteorological inputs, and previously validated iSnobal simulations were used to run and inform the biogeochemical models Biome-BGC and Biome-BGC MuSo at three aspen stands in the Reynolds Creek Experimental Watershed. iSnobal simulations of snow redistribution were used to modify measured precipitation values to account for the redistribution of snow. Biome-BGC simulations were run under historical conditions (1984-2015) assuming both a uniform and redistributed snow layer. Biome-BGC MuSo simulations were run under historical (1996-2015) and future climate scenarios (2046-2065) and account for the redistribution of snow. Biogeochemical simulation data sets include input files used to run...
Abstract (from http://www.sciencedirect.com/science/article/pii/S0168192315002142): Physically-based models are a powerful tool to help understand interactions of vegetation, atmospheric dynamics, and hydrology, and to test hypotheses regarding the effects of land cover, management, hydrometeorology, and climate variability on ecosystem processes. The purpose of this paper is to evaluate recent modifications and further refinements to a multi-layer plant canopy model for simulating temperature and water vapor within three diverse forest canopies: a 4.5-m tall aspen thicket, a 15-m tall aspen canopy, and a 60-m tall Douglas fir canopy. Performance of the model was strongly related to source strength and profile stability...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/hyp.11264/abstract): Pinyon-juniper (PJ) cover has increased up to 10-fold in many parts of the western U.S. in the last 140+ years. The impacts of these changes on streamflows are unclear and may vary depending on the intra-annual distribution and amount of precipitation. Given the importance of streamflow in the western U.S., it is important to understand how shifts in PJ woodland cover may produce changes in streamflow across the region's diverse hydroclimates. To this end, we simulated the land surface water balance with contrasting woodland and grassland cover with the Hydrologiska Byråns Vattenbalansavdelning (HBV) model at a 4-km resolution across...
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